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DBMS > Splice Machine vs. Stardog vs. TerminusDB vs. VelocityDB vs. VoltDB

System Properties Comparison Splice Machine vs. Stardog vs. TerminusDB vs. VelocityDB vs. VoltDB

Editorial information provided by DB-Engines
NameSplice Machine  Xexclude from comparisonStardog  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitesplicemachine.comwww.stardog.comterminusdb.comvelocitydb.comwww.voltdb.com
Technical documentationsplicemachine.com/­how-it-worksdocs.stardog.comterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuidedocs.voltdb.com
DeveloperSplice MachineStardog-UnionDataChemist Ltd.VelocityDB IncVoltDB Inc.
Initial release20142010201820112010
Current release3.1, March 20217.3.0, May 202011.0.0, January 20237.x11.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL 3.0, commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaProlog, RustC#Java, C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
LinuxAny that supports .NETLinux
OS X infofor development
Data schemeyesschema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyes
SQL infoSupport of SQLyesYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (WOQL)noyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.NetJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript
Python
.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavauser defined functions and aggregates, HTTP Server extensions in JavayesnoJava
Triggersyesyes infovia event handlersyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningnoneGraph PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in HA-ClusterJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesRole-based access controlBased on Windows AuthenticationUsers and roles with access to stored procedures

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More resources
Splice MachineStardogTerminusDB infoformer name was DataChemistVelocityDBVoltDB
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